Modeling of Type 3 Wind Turbines With df/dt Inertia Control for System Frequency Response Study

Hu, Jiabing; Sun, Li; Yuan, Xiaoming; Wang, Shuo; Chi, Yongning

doi:10.1109/tpwrs.2016.2615631

Cited by 119 publications

(55 citation statements)

References 18 publications

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“…The capability of the rapid power response and the reasonable control strategy of the storage device can make the frequency of the wind farm similar to the inertia response from synchronous generators. The average inertia of the wind energy storage system is a constant within a small period time ∆t, such as the change rate of system frequency is unchanged the symbol [27].…”

Section: System Virtual Inertia Definition and Hydrogen Storage Confimentioning

confidence: 99%

Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

et al. 2018

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This paper presents a doubly fed induction generator (DFIG) wind power system with hydrogen energy storage, with a focus on its virtual inertia adaptive control. Conventionally, a synchronous generator has a large inertia from its rotating rotor, and thus its kinetic energy can be used to damp out fluctuations from the grid. However, DFIGs do not provide such a mechanism as their rotor is disconnected with the power grid, owing to the use of back-to-back power converters between the two. In this paper, a hydrogen energy storage system is utilized to provide a virtual inertia so as to dampen the disturbances and support the grid's stability. An analytical model is developed based on experimental data and test results show that: (1) the proposed method is effective in supporting the grid frequency; (2) the maximum power point tracking is achieved by implementing this proposed system; and, (3) the DFIG efficiency is improved. The developed system is technically viable and can be applied to medium and large wind power systems. The hydrogen energy storage is a clean and environmental-friendly technology, and can increase the renewable energy penetration in the power network.

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Section: System Virtual Inertia Definition and Hydrogen Storage Confimentioning

confidence: 99%

Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

et al. 2018

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“…To further explore how that inertia is affected, some dominant elements are chosen while others are neglected for convenience: (1) Pitch angle transient action is discarded, wind speed is considered as constant during one simulation; (2) alternating voltage dynamics as well as terminal voltage control is ignored; and (iii) the grid frequency deviation can be approximately equal to the differential of terminal voltage's phase deviation …”

Section: Sfr Modeling Of Dfigmentioning

confidence: 99%

“…On the other hand, the DFIG‐based SFR is also developed to provide a universal SFR model to facilitate the system frequency response study. In this regard, a mass‐spring‐damping model is established to include the mechanical components, speed control, and autonomous frequency control namely RoCoF (df/dt) inertia control . Accordingly, the frequency characteristics of DFIG are determined, and its SFR is consequently obtained.…”

Section: Introductionmentioning

confidence: 99%

Modeling DFIG‐based system frequency response for frequency trajectory sensitivity analysis

Azizipanah‐Abarghooee

Malekpour

Feng

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper presents a trajectory frequency sensitivity analysis of a large‐scale power system deploying its simple and reduced order system frequency response (SFR) under sudden load disturbances. By implementing this simple SFR model, the calculation time of the real‐time simulation is reduced while maintaining the needed accuracy. The transfer functions and their related equations in the SFR model are firstly analyzed. Then using trajectory sensitivity analysis, the effects of different parameters (eg, reheat time constant, inertia constant, damping factor, governor regulation, etc.) on the system frequency and its rate of change are investigated. Additionally, the doubly fed induction generator (DFIG) based SFR model with typical rate of change of frequency (RoCoF) based inertial control is derived for system frequency dynamic studies in power systems. The analysis is presented as the evolution of the sensitivities for the frequency and RoCoF in time with respect to the SFR's initial conditions helping to determine the importance of each parameter in different time frames. Furthermore, the trajectory sensitivities are used for the estimation of frequency response with perturbed parameters. The system frequency response in case of DFIG is also evaluated. The observations are useful for power system operators to quantify the grid frequency control capability under wind power penetration.

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“…The common mode voltage of the NNCP inverter can be expressed as (1), where v cm is the common voltage, and v an , v bn , and v cn represent the three-phase voltages, respectively.…”

Section: Common Mode Voltage Of Four-level Nnpc Invertermentioning

confidence: 99%

“…In recent years, the grid-connected wind and PV power systems have attracted considerable interests around the world [1][2][3][4]. Many industrialized nations have installed significant solar power capacity into their electrical grids, providing an alternative to conventional energy sources.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Modulation of NNPC Four-Level Inverter for Solar Photovoltaic Power Plant

Guo

Xue-hui

et al. 2017

International Journal of Photoenergy

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Photovoltaic (PV) power plant is an attractive way of utilizing the solar energy. For high-power PV power plant, the multilevel inverter is of potential interest. In contrast to the neutral-point clamped (NPC) or flying capacitor (FC) multilevel inverter, the nested neutral point clamped (NNPC) four-level inverter has better features for solar photovoltaic power plant. In practical applications, the common mode voltage reduction of the NNPC four-level is one of the important issues. In order to solve the problem, a new modulation strategy is proposed to minimize the common mode voltage. Compared with the conventional solution, our proposal can reduce the common mode voltage to 1/18 of the DC bus voltage. Moreover, it has the capability to balance the capacitor voltages. Finally, we carried out time-domain simulations to test the performance of the NNPC four-level inverter.

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Modeling of Type 3 Wind Turbines With df/dt Inertia Control for System Frequency Response Study

Cited by 119 publications

References 18 publications

Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage

Modeling DFIG‐based system frequency response for frequency trajectory sensitivity analysis

Modeling and Modulation of NNPC Four-Level Inverter for Solar Photovoltaic Power Plant

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